rate_table

Documentation

Overview

Package rate_table contains the top level app-engine code to create datastore and memcache entries to control mlab-ns rate limiting. TODO - add more metrics? TODO - update travis submodule after deploy_app changes are committed.

Index

• func NewDataset(ctx context.Context, project, dataset string, ...) (bqext.Dataset, error)
• func Status(w http.ResponseWriter, r *http.Request)
• func Update(w http.ResponseWriter, r *http.Request)

Functions

func NewDataset

func NewDataset(ctx context.Context, project, dataset string, clientOpts ...option.ClientOption) (bqext.Dataset, error)

NewDataset creates a Dataset for a project. httpClient is used to inject mocks for the bigquery client. If httpClient is nil, a suitable default client is used. Additional bigquery ClientOptions may be optionally passed as final clientOpts argument. This is useful for testing credentials. TODO - update go/bqext version to accept a context.

func Status

func Status(w http.ResponseWriter, r *http.Request)

Status writes an instance summary into the response. TODO(gfr) Add either a black list or a white list for the environment variables, so we can hide sensitive vars. https://github.com/m-lab/etl/issues/384

func Update

func Update(w http.ResponseWriter, r *http.Request)

Update pulls new data from BigQuery, and pushes updated key/value pairs to datastore. TODO - also update bloom filter and memcache.